Senior Sportsbook ML Engineer – End-to-End Modeling Lead

Pentasia; United States; On-site; USD 100,000 - 130,000; Full time

Job summary

A leading gaming technology firm is seeking an exceptional Senior Sportsbook Data Science Engineer to lead advanced modeling initiatives in user profiling and risk control. This senior role offers full ownership of model strategy, hands-on development, and mentorship for junior data scientists. Ideal candidates have 5+ years of experience in machine learning within the Sportsbook or iGaming sector, and are proficient in Python and SQL. Responsibilities include developing predictive models and optimizing engagement strategies within a growing Sportsbook and iGaming ecosystem.

Qualifications

• 5+ years of machine learning experience in the Sportsbook or iGaming industry.
• Proven track record of delivering production ML solutions.
• Expert proficiency in Python and SQL, data wrangling, feature engineering.

Responsibilities

• Own the modeling roadmap for user profiling and risk strategy.
• Architect scalable ML pipelines and monitor production models.
• Develop user segmentation frameworks and classify user behaviors.

Skills

Machine learning experience

Modeling proficiency

Data analytics

Python

SQL

Communication skills

Model evaluation

Communication skills

Education

Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field

Job description

A leading gaming technology firm is seeking an exceptional Senior Sportsbook Data Science Engineer to lead advanced modeling initiatives in user profiling and risk control. This senior role offers full ownership of model strategy, hands-on development, and mentorship for junior data scientists. Ideal candidates have 5+ years of experience in machine learning within the Sportsbook or iGaming sector, and are proficient in Python and SQL. Responsibilities include developing predictive models and optimizing engagement strategies within a growing Sportsbook and iGaming ecosystem.